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A multimodal explainable artificial intelligence framework for interpretable Parkinson's disease prediction.

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第一作者： Vaishali,Mehta

第一单位： Research Scholar, SR University, Warangal, Telangana, India.;Faculty, CSE Panipat Institute of Engineering and Technology, Panipat, India.

作者： Vaishali,Mehta ^[1] ; Balajee,Maram ^[2] ; Jyoti,Garg ^[3] ; Naveen,Kumar ^[4] ; Prakash Tukaram,Raut ^[5] ; Anto Lourdu Xavier Raj Arockia,Selvarathinam ^[6] ; Priya,Jindal ^[7]

作者单位： Research Scholar, SR University, Warangal, Telangana, India.;Faculty, CSE Panipat Institute of Engineering and Technology, Panipat, India. ^[1] Department of AI & ML, SR University, Warangal, Telangana, India. ^[2] Department of Computer Science & Engineering, Maharishi Markandeshwar deemed to be University, Mullana, Ambala, India. ^[3] Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. naveen.sharma@chitkara.edu.in. ^[4] Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India. prakash.raut@sicsr.ac.in. ^[5] Department of Data Science and Analytics, College of Computing, Grand Valley State University, Michigan, USA. ^[6] Chitkara Business School, Chitkara University, Punjab, India. ^[7]

关键词 Explainable artificial intelligence Interpretable models LIME Machine learning Parkinson’s disease SHAP

DOI 10.1038/s41598-026-47769-z

PMID 42002559

发布时间 2026-06-10

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